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A robot-based behavioural task to quantify impairments in rapid motor decisions and actions after stroke

机译:基于机器人的行为任务用于量化中风后快速运动决策和动作中的损伤

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摘要

BackgroundStroke can affect our ability to perform daily activities, although it can be difficult to identify the underlying functional impairment(s). Recent theories highlight the importance of sensory feedback in selecting future motor actions. This selection process can involve multiple processes to achieve a behavioural goal, including selective attention, feature/object recognition, and movement inhibition. These functions are often impaired after stroke, but existing clinical measures tend to explore these processes in isolation and without time constraints. We sought to characterize patterns of post-stroke impairments in a dynamic situation where individuals must identify and select spatial targets rapidly in a motor task engaging both arms. Impairments in generating rapid motor decisions and actions could guide functional rehabilitation targets, and identify potential of individuals to perform daily activities such as driving.
机译:尽管可能很难确定潜在的功能障碍,但BackgroundStroke可能会影响我们执行日常活动的能力。最近的理论强调了感觉反馈在选择未来运动动作中的重要性。该选择过程可能涉及多个过程以实现行为目标,包括选择性注意,特征/对象识别和运动抑制。这些功能通常在中风后受损,但是现有的临床措施倾向于孤立地探索这些过程,而没有时间限制。我们试图描述动态情况下的中风后损伤模式,在这种情况下,个人必须在参与双臂的运动任务中迅速识别并选择空间目标。在快速做出动作决定和行动方面的障碍可能会指导功能康复目标,并确定个人进行日常活动(例如驾驶)的潜力。

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